Sierra Nevada has been granted a patent for methods and systems enhancing unmanned aerial vehicle (UAV) operations. The technology involves a control system that integrates data from mobile ground platforms and radar systems to detect obstacles in UAV flight paths and communicate necessary indicators to ensure safe navigation. GlobalData’s report on Sierra Nevada gives a 360-degree view of the company including its patenting strategy. Buy the report here.
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According to GlobalData’s company profile on Sierra Nevada, IoT network security was a key innovation area identified from patents. Sierra Nevada's grant share as of June 2024 was 56%. Grant share is based on the ratio of number of grants to total number of patents.
Unmanned aerial vehicle flight path obstacle detection system
The patent US11994880B2 outlines a method for enhancing the operational safety and efficiency of unmanned aerial vehicles (UAVs) during flight. The method involves establishing communication between a first UAV, a control system, a mobile ground-based platform, and a ground-based radar surveillance system. This setup allows the control system to manage the flight paths of a second UAV, utilizing multiple coverage areas provided by the ground-based radar and the first UAV. The control system detects potential obstacles in the second UAV's flight path and generates indicators to inform the first UAV, which can then issue maneuver commands to the second UAV to avoid these obstacles. The method also includes provisions for transitioning between different airspace classes and utilizing overlapping transit corridors to ensure safe navigation.
Additionally, the patent describes the use of a non-transitory, machine-readable storage medium that contains executable code for implementing the aforementioned method. This code facilitates the communication and data exchange necessary for detecting objects that may impede the second UAV's flight. The system can generate maneuver commands based on real-time data from the first UAV and the control system, allowing for dynamic adjustments to the second UAV's flight path. The claims also emphasize the importance of sensor data integration from both the mobile ground-based platform and the ground-based radar surveillance system to enhance situational awareness and operational safety for UAVs in flight.
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GlobalData Patent Analytics tracks bibliographic data, legal events data, point in time patent ownerships, and backward and forward citations from global patenting offices. Textual analysis and official patent classifications are used to group patents into key thematic areas and link them to specific companies across the world’s largest industries.
